Psychology of Addictive Behaviors 2014;28(4):1127-1143. [doi: 10.1037/a0037235]
Suzanne R. Doyle, PhD and Dennis M. Donovan, PhD (both from Alcohol & Drug Abuse Institute, University of Washington, PN Node).
Given that treatment dropout among stimulant abusers has been found in prior research to be associated with relapse and continued substance use, identifying variables that best predict treatment completion for particular subgroups among stimulant abusers may aid clinicians in targeting dropout prevention strategies. The purpose of this study was to explore the selection of predictor variables in the evaluation of drug treatment completion using an ensemble approach with classification trees. The basic methodology is reviewed and the subagging procedure of random subsampling is applied. Among 234 individuals with stimulant use disorders randomized to a 12-step facilitative intervention shown to increase stimulant use abstinence (National Drug Abuse Treatment Clinical Trials Network study CTN-0031, "STAGE-12"), 67.52% were classified as treatment completers. A total of 122 baseline variables were used to identify factors associated with completion. The number of types of self-help activity involvement prior to treatment was the predominant predictor. Other effective predictors included better coping self-efficacy for substance use in high-risk situations, more days of prior meeting attendance, greater acceptance of the disease model, higher confidence for not resuming use following discharge, lower ASI Drug and Alcohol composite scores, negative urine screens for cocaine or marijuana, and fewer employment problems.
Conclusions: The application of an ensemble subsampling regressions tree method utilizes the fact that classification trees are unstable but, on average, produce an improved prediction of the completion of drug abuse treatment. The results support the notion that there are early indicators of treatment completion that may allow for modification of approaches more tailored to fitting the needs of individuals and potentially provide more successful treatment engagement and improved outcomes. Given these results, in addition to considering mostly static variables like race, gender, or marital status, researchers should attend to the selection of more dynamic variables, such as confidence and self-efficacy, that may have stronger implications in the development of treatment interventions. (Article (Peer-Reviewed), PDF, English, 2014)
Keywords: Behavior therapy | Cocaine | CTN platform/ancillary study | Group therapy | Marijuana | Statistical models | Retention - Treatment | Stimulant abuse | Twelve-step program | Twelve-Step Facilitation (TSF) | Psychology of Addictive Behaviors (journal)
Document No: 1068, PMID: 25134038, PMCID: PMC4274230.
Submitted by Suzanne R. Doyle, PhD, PN Node,5/21/2014.